Introducing Automated Text Recognition
Wiley Digital Archives is the only archival program in the library market offering Automated Text Recognition (ATR), an AI that turns handwriting into typeset. ATR makes the unique handwritten documents in our archives easy to discover, explore, and analyze with our platform digital humanities tools.
Explore seven centuries of manuscripts
Thanks to ATR, a breakthrough machine learning feature, hundreds of thousands of handwritten records covering seven centuries of History of Science can now be seamlessly searched within, utilized for data analysis, quoted, and referred to in citations.
Improves returns
ATR has been applied to all WDA archives at no extra cost, enhancing the archives you’re planning to acquire, as well as of those that you acquired in the past, automatically increasing ROI even post sale.
Supports institutional objectives
Powered by ATR, WDA helps put researchers in your institution ahead of the curve.
Enables unprecedented research and publishing efficiency
ATR makes manuscripts fully searchable, available for data analysis, and seamlessly easy to quote and refer to in citations.
Solves manuscript comprehension challenges
Handwriting presents readability issues that ATR solves by converting it into typeset.
Powers virtual teaching
Using ATR to seamlessly incorporate primary sources into the digital classroom makes research work more appealing, accessible, and intuitive for students.
Grows and enhances research reach
With ATR, manuscripts and printed materials approach usability and discoverability parity, allowing more connections and discoveries, and enhancing analysis.
Technology to explore history
Built for research,
teaching and learning
Wiley Digital Archives delivers archival content on an advanced platform purposely designed to power research, support teaching, and foster learning.
The platform is user-friendly, packed with intuitive tools and functionalities to power discovery, analysis, on- and off-platform collaboration, and virtual education.
Users can conduct searches of textual and visual content by word, term, format and date across archives and disciplines. All results are sorted by content type in easy-to-navigate visual galleries.
Datasets and content can be easily downloaded, manipulated and shared by individual users or collaborative teams of researchers and students, with most text translatable into 105 different languages.
Tools to power research, support teaching, and foster learning
The platform is embedded with the most advanced set of digital humanities tools, designed to maximize the value researchers, educators and students derive from primary source content. Functionalities include:
Analytics
Textual analysis tools for concordance, collocation, popularity, relationships and frequency distribution of terms across archives, disciplines and timelines.
Geo-tagging
Geo-tagged maps, even those drawn by hand, can be overlaid with current coordinates and downloaded as geotiff files to use within GIS software suites.
Exportable datasets
Exportable, fielded datasets for charts, tables, statistics from printed or handwritten sources.
Translations
Typeset materials can be downloaded as images or as OCR text and translated into 105 languages.
Metadata
Enhanced metadata to facilitate discovery, citations and references.